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On Call Aiops Engineer Jobs (NOW HIRING)

Senior Network Engineer

Los Angeles, CA · Hybrid

$112K - $153K/yr

AI-Driven Network Operations (AIOps) : Apply AI/ML and AIOps to network monitoring, anomaly ... Define SLAs/SLOs, alerting, on-call, and incident response. Drive MTTR reduction through automation ...

Senior DevOps Engineer

Raleigh, NC · Remote

$126K - $162K/yr

Enable AIOps capabilities such as intelligent alerting, anomaly detection, log analysis, and ... Support production issue triage and resolution, including oncall support, incident management, and ...

... Splunk, BigPanda AIOps, etc.) * Intermediate/expert level ability to use automation and ... on-call engineer rotation schedule * Due OT Budget restrictions, most likely contractor will ...

Software Engineer

Irving, TX · On-site

$85 - $90/hr

Participate in 24x7 on-call rotation with urgency and ownership during incidents. * Mentor ... Develop alert for incident handling (AIOps, ServiceNow, BigPanda). * Design distributed systems ...

Develop AIOps capabilities on platforms fore.gObservabilityuse-cases: anomaly detection ... on-call workflows * Hands-onexperience orworkingknowledge of Boomi integrations PaaS(iPaaS ...

DevOps Engineer III

Waltham, MA · On-site

$57 - $78/hr

Participate in on-call rotations, incident triage, and post-incident reviews; apply SRE best ... Demonstrated experience using AI-powered copilots, chat assistants, or AIOps platforms to ...

Sr Platform Engineer

Denver, CO · On-site

$150K - $165K/yr

Develop AIOps capabilities on platforms for e.g Observability use-cases: anomaly detection ... on-call workflows * Hands-on experience or working knowledge of Boomi integrations PaaS(iPaaS ...

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On Call Aiops Engineer information

What are the most commonly searched types of Aiops Engineer jobs? The most popular types of Aiops Engineer jobs are:
Senior Software Engineer - AI Research Clusters

Senior Software Engineer - AI Research Clusters

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 14 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

NVIDIA is at the forefront of innovations in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention-the GPU-functions as the visual cortex of modern computing and is central to groundbreaking applications from generative AI to autonomous vehicles. We are now looking for a Senior Software Engineer to help accelerate the next era of machine learning innovation.

In this role, you will propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers, enable them to focus on training and development by reducing operational disruption and overhead, empower them for self-service continuous improvement on reliability, operational excellence & performance. Your work will empower scientists and engineers to train, fine-tune, and deploy the most advanced ML models on some of the world's most powerful GPU systems.

What You'll Be Doing:

  • In this position, you will work with coworkers across the AI Platform organization to understand the pain points of validating, monitoring and operating GPU clusters at scale. Then you will design, develop and maintain engineering solutions to solve those pain points systematically.

  • You will also research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil.

  • You will participate in on-call support for systems, platforms built and owned by the team.

What We Need To See:

  • BS/MS in Computer Science, Engineering, or equivalent experience.

  • 5+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems.

  • Experience in software development lifecycle on Linux-based platforms.

  • Strong coding skills in languages such as Python, C++ or Rust.

  • Experience with Docker, Kubernetes, GitLab CI, automated deployments.

  • Experience with AIOps or Agentic AI and apply it successfully in production environment.

Ways To Stand Out From The Crowd:

  • Proficiency with full-stack development: Relational Data Modeling, DB optimization, REST API Semantics, Javascript, CSS, providing API as a service.

  • Passion for building developer-centric platforms with great UX and strong operational reliability.

  • Experience running Slurm or custom scheduling frameworks in production ML environments.

  • Familiarity with GPU computing, Linux systems internals, and performance tuning at scale.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993